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whirlpoolx: real fix for multi gpus

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Main problem was the arrays allocations which should be made per cpu

Signed-off-by: Tanguy Pruvot <tanguy.pruvot@gmail.com>
This commit is contained in:
Tanguy Pruvot 2015-03-08 22:09:09 +01:00
parent c1cfb3a131
commit ebd23bcc66
3 changed files with 34 additions and 33 deletions
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2
x11/x11.cu
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@ -133,7 +133,7 @@ extern "C" void x11hash(void *output, const void *input)
cudaMemcpy(debugbuf, d_hash[thr_id], 8*sizeof(uint32_t), cudaMemcpyDeviceToHost); \
printf("%s %08x %08x %08x %08x...\n", algo, htobe32(debugbuf[0]), htobe32(debugbuf[1]), \
htobe32(debugbuf[2]), htobe32(debugbuf[3])); \
cudaFree(debugbuf); \
cudaFreeHost(debugbuf); \
} \
}
#else

40
x15/cuda_whirlpoolx.cu
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@ -14,8 +14,8 @@ __constant__ uint64_t c_xtra[8];
__constant__ uint64_t c_tmp[72];
__constant__ uint64_t pTarget[4];
uint32_t *d_wxnounce[MAX_GPUS];
uint32_t *d_WXNonce[MAX_GPUS];
static uint32_t *h_wxnounce[MAX_GPUS] = { 0 };
static uint32_t *d_WXNonce[MAX_GPUS] = { 0 };
/**
* Whirlpool CUDA kernel implementation.
@ -151,8 +151,8 @@ static uint64_t ROUND_ELT(const uint64_t* sharedMemory, const uint64_t* __restri
ROUND(table, in, out, key[0], key[1], key[2],key[3], key[4], key[5], key[6], key[7]) \
TRANSFER(in, out)
uint64_t* d_xtra;
uint64_t* d_tmp;
static uint64_t* d_xtra[MAX_GPUS] = { 0 };
static uint64_t* d_tmp[MAX_GPUS] = { 0 };
__device__ __forceinline__
static void whirlpoolx_getShared(uint64_t* sharedMemory)
@ -172,12 +172,12 @@ static void whirlpoolx_getShared(uint64_t* sharedMemory)
__global__
void whirlpoolx_gpu_precompute(int threads, uint64_t* d_xtra, uint64_t* d_tmp)
void whirlpoolx_gpu_precompute(uint32_t threads, uint64_t* d_xtra, uint64_t* d_tmp)
{
__shared__ uint64_t sharedMemory[2048];
whirlpoolx_getShared(sharedMemory);
int thread = (blockDim.x * blockIdx.x + threadIdx.x);
uint32_t thread = (blockDim.x * blockIdx.x + threadIdx.x);
if (thread < threads)
{
uint64_t n[8];
@ -534,14 +534,14 @@ void whirlpoolx_gpu_hash(uint32_t threads, uint32_t startNounce, uint32_t *resNo
}
__host__
extern void whirlpoolx_cpu_init(int thr_id, int threads)
extern void whirlpoolx_cpu_init(int thr_id, uint32_t threads)
{
cudaMemcpyToSymbol(InitVector_RC, plain_RC, sizeof(plain_RC), 0, cudaMemcpyHostToDevice);
cudaMemcpyToSymbol(mixTob0Tox, plain_T0, sizeof(plain_T0), 0, cudaMemcpyHostToDevice);
cudaMalloc(&d_WXNonce[thr_id], sizeof(uint32_t));
cudaMallocHost(&d_wxnounce[thr_id], sizeof(uint32_t));
cudaMalloc((void **)&d_xtra, 8 * sizeof(uint64_t));
CUDA_SAFE_CALL(cudaMalloc((void **)&d_tmp, 8 * 9 * sizeof(uint64_t)));
cudaMallocHost(&h_wxnounce[thr_id], sizeof(uint32_t));
cudaMalloc(&d_xtra[thr_id], 8 * sizeof(uint64_t));
CUDA_SAFE_CALL(cudaMalloc(&d_tmp[thr_id], 8 * 9 * sizeof(uint64_t))); // d_tmp[threadIdx.x+64] (7+64)
}
__host__
@ -550,21 +550,22 @@ void whirlpoolx_setBlock_80(void *pdata, const void *ptarget)
uint64_t PaddedMessage[16];
memcpy(PaddedMessage, pdata, 80);
memset((uint8_t*)&PaddedMessage+80, 0, 48);
*(uint8_t*)(&PaddedMessage+80) = 0x80; /* ending */
((uint8_t*)PaddedMessage)[80] = 0x80; /* ending */
cudaMemcpyToSymbol(pTarget, ptarget, 4*sizeof(uint64_t), 0, cudaMemcpyHostToDevice);
cudaMemcpyToSymbol(c_PaddedMessage80, PaddedMessage, 16 * sizeof(uint64_t), 0, cudaMemcpyHostToDevice);
CUDA_SAFE_CALL(cudaMemcpyToSymbol(c_PaddedMessage80, PaddedMessage, 16 * sizeof(uint64_t), 0, cudaMemcpyHostToDevice));
}
__host__
void whirlpoolx_precompute()
void whirlpoolx_precompute(int thr_id)
{
dim3 grid(1);
dim3 block(256);
whirlpoolx_gpu_precompute <<<grid, block>>>(8, &d_xtra[0], &d_tmp[0]);
whirlpoolx_gpu_precompute <<<grid, block>>>(8, d_xtra[thr_id], d_tmp[thr_id]);
cudaThreadSynchronize();
cudaMemcpyToSymbol(c_xtra, d_xtra, 8 * sizeof(uint64_t), 0, cudaMemcpyDeviceToDevice);
cudaMemcpyToSymbol(c_tmp, d_tmp, 8 * 9 * sizeof(uint64_t), 0, cudaMemcpyDeviceToDevice);
cudaMemcpyToSymbol(c_xtra, d_xtra[thr_id], 8 * sizeof(uint64_t), 0, cudaMemcpyDeviceToDevice);
CUDA_SAFE_CALL(cudaMemcpyToSymbol(c_tmp, d_tmp[thr_id], 8 * 9 * sizeof(uint64_t), 0, cudaMemcpyDeviceToDevice));
}
__host__
@ -574,10 +575,11 @@ uint32_t whirlpoolx_cpu_hash(int thr_id, uint32_t threads, uint32_t startNounce)
dim3 block(threadsPerBlock);
cudaMemset(d_WXNonce[thr_id], 0xff, sizeof(uint32_t));
whirlpoolx_gpu_hash<<<grid, block>>>(threads, startNounce,d_WXNonce[thr_id]);
whirlpoolx_gpu_hash<<<grid, block>>>(threads, startNounce, d_WXNonce[thr_id]);
cudaThreadSynchronize();
cudaMemcpy(d_wxnounce[thr_id], d_WXNonce[thr_id], sizeof(uint32_t), cudaMemcpyDeviceToHost);
return *d_wxnounce[thr_id];
cudaMemcpy(h_wxnounce[thr_id], d_WXNonce[thr_id], sizeof(uint32_t), cudaMemcpyDeviceToHost);
return *(h_wxnounce[thr_id]);
}

25
x15/whirlpoolx.cu
View File

@ -1,20 +1,20 @@
/*
* whirlpool routine (djm)
* whirlpoolx routine (provos alexis)
* whirlpoolx routine (provos alexis, tpruvot)
*/
extern "C" {
#include "sph/sph_whirlpool.h"
#include "miner.h"
}
#include "miner.h"
#include "cuda_helper.h"
static uint32_t *d_hash[MAX_GPUS];
extern void whirlpoolx_cpu_init(int thr_id, int threads);
extern void whirlpoolx_cpu_init(int thr_id, uint32_t threads);
extern void whirlpoolx_setBlock_80(void *pdata, const void *ptarget);
extern uint32_t whirlpoolx_cpu_hash(int thr_id, uint32_t threads, uint32_t startNounce);
extern void whirlpoolx_precompute();
extern void whirlpoolx_precompute(int thr_id);
// CPU Hash function
extern "C" void whirlxHash(void *state, const void *input)
@ -24,28 +24,26 @@ extern "C" void whirlxHash(void *state, const void *input)
unsigned char hash[64];
unsigned char hash_xored[32];
memset(hash, 0, sizeof hash);
sph_whirlpool_init(&ctx_whirlpool);
sph_whirlpool(&ctx_whirlpool, input, 80);
sph_whirlpool_close(&ctx_whirlpool, hash);
for (uint32_t i = 0; i < 32; i++){
hash_xored[i] = hash[i] ^ hash[i + 16];
// compress the 48 first bytes of the hash to 32
for (int i = 0; i < 32; i++) {
hash_xored[i] = hash[i] ^ hash[i + 16];
}
memcpy(state, hash_xored, 32);
}
static bool init[MAX_GPUS] = { 0 };
extern "C" int scanhash_whirlpoolx(int thr_id, uint32_t *pdata, const uint32_t *ptarget,
uint32_t max_nonce, unsigned long *hashes_done)
{
const uint32_t first_nonce = pdata[19];
uint32_t endiandata[20];
uint32_t throughput = device_intensity(thr_id, __func__, 1U << 22);
int intensity = is_windows() ? 18 : 22;
uint32_t throughput = device_intensity(thr_id, __func__, 1U << intensity);
throughput = min(throughput, max_nonce - first_nonce);
if (opt_benchmark)
@ -54,7 +52,8 @@ extern "C" int scanhash_whirlpoolx(int thr_id, uint32_t *pdata, const uint32_t *
if (!init[thr_id]) {
cudaSetDevice(device_map[thr_id]);
cudaMalloc(&d_hash[thr_id], 64 * throughput);
CUDA_CALL_OR_RET_X(cudaMalloc(&d_hash[thr_id], 64 * throughput), 0);
whirlpoolx_cpu_init(thr_id, throughput);
init[thr_id] = true;
@ -65,7 +64,7 @@ extern "C" int scanhash_whirlpoolx(int thr_id, uint32_t *pdata, const uint32_t *
}
whirlpoolx_setBlock_80((void*)endiandata, ptarget);
whirlpoolx_precompute();
whirlpoolx_precompute(thr_id);
do {
uint32_t foundNonce = whirlpoolx_cpu_hash(thr_id, throughput, pdata[19]);
if (foundNonce != UINT32_MAX)